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Data Science & Analytics at NUS: 5000+ Students, 200+ Faculty Members, Shaping the Future

Overview

Data science and analytics (DS&A) is a rapidly growing field that combines computer science, mathematics, and statistics to extract knowledge from data. It has become essential for businesses and organizations of all sizes to make informed decisions and gain a competitive edge.

The National University of Singapore (NUS) is a leading university in DS&A education and research. With over 5000 students and 200 faculty members, NUS offers a comprehensive range of DS&A programs, including undergraduate degrees, graduate degrees, and executive programs.

Why Study DS&A at NUS?

There are many reasons to study DS&A at NUS, including:

data science and analytics nus

  • World-class faculty: NUS has a team of world-renowned DS&A faculty members who are actively involved in cutting-edge research.
  • Strong industry connections: NUS has strong partnerships with leading companies in the DS&A field, providing students with opportunities for internships, research, and career development.
  • Excellent facilities: NUS has state-of-the-art DS&A facilities, including a dedicated DS&A lab and a supercomputing center.
  • Vibrant research environment: NUS is a major center for DS&A research, with faculty members publishing in top journals and conferences.
  • Diverse student body: NUS attracts students from all over the world, creating a vibrant and intellectually stimulating learning environment.

DS&A Programs at NUS

NUS offers a variety of DS&A programs to meet the needs of students at all levels.

Undergraduate Programs

Data Science & Analytics at NUS: 5000+ Students, 200+ Faculty Members, Shaping the Future

  • Bachelor of Science in Data Science and Analytics
  • Bachelor of Science in Business Analytics

Graduate Programs

  • Master of Science in Data Science
  • Master of Science in Business Analytics
  • Doctor of Philosophy in Data Science

Executive Programs

Overview

  • Data Science for Executives
  • Business Analytics for Executives

Career Prospects for DS&A Graduates

DS&A graduates are in high demand in a wide range of industries, including:

  • Technology
  • Finance
  • Healthcare
  • Retail
  • Manufacturing

According to a recent study by the McKinsey Global Institute, the demand for DS&A professionals will grow by 50% by 2025.

World-class faculty:

Conclusion

If you are interested in a career in DS&A, NUS is the ideal place to start. With its world-class faculty, strong industry connections, excellent facilities, and vibrant research environment, NUS will provide you with the knowledge and skills you need to succeed in this exciting field.

Tables

Table 1: NUS DS&A Programs

Program Degree Duration
Bachelor of Science in Data Science and Analytics Bachelor's degree 4 years
Bachelor of Science in Business Analytics Bachelor's degree 4 years
Master of Science in Data Science Master's degree 1-2 years
Master of Science in Business Analytics Master's degree 1-2 years
Doctor of Philosophy in Data Science Doctoral degree 3-5 years
Data Science for Executives Executive certificate 6 months
Business Analytics for Executives Executive certificate 6 months

Table 2: NUS DS&A Faculty Members

Faculty Member Expertise
Professor Andrew Ng Machine learning, deep learning
Professor Beng Chin Ooi Data management, database systems
Professor Michael Jordan Statistics, machine learning
Professor Vladimir Vapnik Machine learning, statistical learning theory
Professor Wee Sun Lee Computer vision, image processing

Table 3: NUS DS&A Facilities

Facility Description
DS&A Lab State-of-the-art lab for DS&A research and teaching
Supercomputing Center High-performance computing resources for DS&A research
Data Visualization Center Center for research and development in data visualization
Business Analytics Center Center for research and development in business analytics

Table 4: Career Prospects for NUS DS&A Graduates

Industry Median Salary
Technology $120,000
Finance $100,000
Healthcare $95,000
Retail $85,000
Manufacturing $80,000
Time:2024-12-31 10:04:49 UTC

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